All Questions
Tagged with multiple-comparisons multiple-regression
65
questions
0
votes
0
answers
15
views
Use of multiple comparison correction and composite DV
I am investigating the effect of a single X on a composite DV, Y. I want to also investigate the effect of X on the 36 sub-components of Y. Thus, I would have to run 37 multiple regression models, ...
- 1
0
votes
0
answers
31
views
GLM Multiple Comparisons
I am performing several Generalized Linear Models in my analysis and I am wondering which method to use for adjusting p-values due to multiple comparisons.
I have 4 outcomes (judgement of intensity ...
- 11
3
votes
1
answer
195
views
Perform the multiple comparisons after controlling other covariates
To describe this issue, we consider the following 2 models:
m1 <- lm(disp ~ drat, mtcars)
m2 <- lm(disp ~ drat + factor(cyl), mtcars)
...
- 83
0
votes
0
answers
22
views
How to design contrasts for a three way mixed effect model with interactions?
I have an experiment which comprise a numerical dependent variable, say a feature such as growth_rate, and three independent factor variables describing where the samples were collected, i.e. locality,...
- 207
4
votes
1
answer
248
views
Adjusting p-values in multiple regression using permutation test
I have run a multiple regression model using a set of 10 categorical and numerical explanatory variables. This model results in 10 coefficients and their associated p-values. I would like to report ...
- 43
7
votes
3
answers
1k
views
Why is a "Correction" Required in Multiple Hypothesis Testing?
Suppose I have the following dataset that contains measurements on different patients (each unique ID is a unique patient) - "x" variables represent covariates and "y" variables ...
1
vote
0
answers
32
views
Can multiple regression be used to test individual hypotheses?
In the linked article here Rubin proposes that familywise error correction is not necessary when the hypotheses are either that all tests will be significant ('conjunction testing') or that a series ...
- 2,043
1
vote
0
answers
38
views
Question on Multiple Regression (vs multiple single regression models)
I have a pretty basic psychology fMRI study and we're trying to identify brain areas correlated with performance on a specific task.
We have one dependent variable, and measurements for each brain ...
2
votes
1
answer
349
views
Is it necessary to correct p-values for multiple comparisons in multivariate regression?
In this suspiciously brief comment on another article, the author suggests that analysts should only correct for multiple comparisons in univariate regression when the predictor has more than two ...
- 2,043
0
votes
1
answer
952
views
FDR Adjusted p value after multiple regression with categorical predictor with many levels
I would like to run a multiple linear regression to test if my protein of interest differs among different stages of a disease, while controlling for covariates/ confounders such as age and gender. ...
- 23
3
votes
0
answers
68
views
Do you adjust p values at each test or after all tests completed?
Using several separate generalized additive models, do I adjust p-values after each one, or after all models?
...
- 329
0
votes
1
answer
136
views
Understanding regression bootstrap confidence interval in multiple comparison
Let's say I have 100 subjects split into two age groups (young/older) and each have a single value given for performance on a memory test.
I plot a linear regression for each age group, to test if ...
- 329
0
votes
1
answer
124
views
Appropriate way to adjust p values for multiple comparisons of unrelated domains?
Our dataset has 325 participants. Within each participant, we are looking at how 3 brain regions (ROIs) in each hemisphere (so right and left separately) are correlated with 10 cognitive domains. ...
- 329
1
vote
0
answers
47
views
Adjust for multiple comparisons in multiple linear regression with upstream model selection step
Say I have two DV y1 and y2, and three IV x1, x2, ...
- 33
0
votes
1
answer
136
views
Feature Importance for each class when p>>n
I have a bioinformatics-related dataset with ~10k rows and ~100k columns (features) and a single response variable with roughly 25 classes. I want to figure out which of the features are useful in ...
- 51